achrafsoltani

disp("Initilizing the best Linear Regression Program v1.0\n");

% clear and initialize 
clear; clc; close all; 

sprintf("Initilizing paths...\n");

% add paths
addpath('./lib');

achrafsoltani

6.1101,17.592
5.5277,9.1302
8.5186,13.662
7.0032,11.854
5.8598,6.8233
8.3829,11.886
7.4764,4.3483
8.5781,12
6.4862,6.5987
5.0546,3.8166

achrafsoltani

function parameters = gradient_descent(X, Y, theta0, theta1, learning_rate, initial_cost)
    i = 0;
    previous_cost = initial_cost+1;
    cost = initial_cost;
    m = length(X);
    while(i < 100)
        H = theta0 + theta1.*X;
        cost = compute_cost(H, Y, m);
        format short
        derivatives = compute_derivatives(X, Y, theta0, theta1, m);

achrafsoltani

function derivatives = compute_derivatives(X, Y, theta0, theta1, m)
    derivatives(1) = (1/m)*sum((theta0+(theta1*X))-Y);
    derivatives(2) = (1/m)*sum(X.*((theta0+(theta1*X))-Y));
end

achrafsoltani

% Explanatory Variable
X2 = [1;1;2;3;3];
% Response Variable
Y2 = [0.5;1.5;2;1.5;3];
plot(X2, Y2, 'rx', 'linewidth',2); 
axis([0 5 0 5])

achrafsoltani

function cost = compute_cost(H, Y, m) 
    % H hypothesis matrix
    % Y Response Variable 
    % m training examples
    cost = (1/(2*m))*sum((H-Y).^2);
end

achrafsoltani

disp("Initilizing the best Linear Regression Program v1.0\n");

% clear and initialize 
clear; clc; close all; 

sprintf("Initilizing paths...\n");

% add paths
addpath('./lib');

achrafsoltani

CREATE TABLE IF NOT EXISTS `country` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `iso` char(2) NOT NULL,
  `name` varchar(80) NOT NULL,
  `nicename` varchar(80) NOT NULL,
  `iso3` char(3) DEFAULT NULL,
  `numcode` smallint(6) DEFAULT NULL,
  `phonecode` int(5) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=MyISAM  DEFAULT CHARSET=latin1;